Program Overview

MSc Artificial Intelligence

The MSc Artificial Intelligence degree at Manchester Metropolitan University is designed to equip students with the fundamental principles of Artificial Intelligence (AI) and its applications. The course covers core modules such as advanced machine learning, the ethics of artificial intelligence, and robotics science.

Course Overview

The course aims to provide students with a comprehensive understanding of AI, including its theories, techniques, and tools. Students will learn to critically evaluate the theories, techniques, tools, and systems used in the field and explore interdisciplinary applications. The course also includes an in-depth master's project, where students will undertake a piece of research on a topic of their choice related to their studies.

Features and Benefits

• Learn alongside world-leading research: 86% of the university's research outputs in Computer Science are rated world-leading and internationally excellent (REF, 2021).
• Professional standards: The university is an Academy for the Computer Technology Industry Association (CompTIA) and delivers their partner programme, providing a pathway for students towards a rewarding, high-growth IT career.
• Optional placement year: Boost career prospects and put theory into practice with the option to take an industry placement year.
• Institute of Coding: The Department of Computing and Mathematics is part of the £40m national Institute of Coding (IoC), providing students with access to the IoC's cutting-edge computer lab.
• Leading the Centre for Digital Innovation: The university's AI researchers provide strong leadership in the region through the Centre for Digital Innovation, collaborating across disciplines to innovate in intelligent healthcare, precision agriculture, smart energy, and human motion analysis and sports.

Accreditations, Awards, and Endorsements

• Chartered Institute of Information Security: The Department is an academic partner of the Chartered Institute of Information Security (CIISec).
• Oracle Academy: The Department is an academic partner of the Oracle Academy.
• Computing Technology Industry Association (CompTIA): The university is an Academy of CompTIA and delivers their partner programme, providing a pathway towards a rewarding, high-growth IT career.
• Institute of Coding: The university is part of the new national Institute of Coding and leading the charge to make coding accessible for all.
• The Chartered Institute for IT: The Department is an educational affiliate of the British Computing Society, the Chartered Institute for IT.

Entry Requirements

• This course is open to anyone with a UK honours degree in a computing-related subject – at least a 2:2 – or the international equivalent.
• International students please see the university's international website for specific entry requirements.
• Overseas applicants will require IELTS with an overall score of 6.5 with no less than 5.5 in any category, or an equivalent accepted English qualification.

Fees and Funding

• UK and Channel Island students: Full-time fee £10,250 per year.
• EU and non-EU international students: Full-time fee £20,000 per year.
• Placement costs: Compulsory estimate £1,905.
• Professional costs: Optional estimate £20 - £30.
• Other costs: Optional estimate £400.

Careers Support and Prospects

• Employed or in further study: 93.7% of the university's UK-domiciled, full-time, postgraduate taught graduates are employed or in further study 15 months after graduation.
• The advanced skills and understanding developed on the MSc Artificial Intelligence course can take students into a range of exciting roles in numerous different industries, from technology, healthcare, and automotive to government and defence.
• Students will be ideally placed to apply for specialist jobs such as AI/machine learning software engineer and AI data specialist.

Study and Assessment

• Full-time: 20% lectures, seminars or similar; 0% placement; 80% independent study.
• Full-time with placement: 10% lectures, seminars or similar; 50% placement; 40% independent study.
• Part-time: 20% lectures, seminars or similar; 0% placement; 80% independent study.
• Assessment: 100% coursework; 0% practical; 0% examination.

Placements

• Strengthen skillset by spending time in industry on a placement year, applying the skills learned throughout academic studies in a practical, real-world environment.
• It is the student's responsibility to search and apply for advertised placement opportunities, but they will be supported by academic staff and the University's Careers and Employability Service to find a placement that is suited to them and their career ambitions.